Large MIMO System Incorporating QOSTBC Transmission

Reduced computational intricacy is needed to improve systems of wireless communication, like large multiple-input multiple-output (MIMO) systems. Large MIMO systems have demonstrated to operate at nearly optimal efficiency through linear minimum mean-square error (MMSE) detection. But the large-scale matrix inversion produces undue intricacy. Further, several detection methods such as variants of Jacobi, Richardson, Gauss–Seidel (GS), successive overrelaxation (SOR) and symmetric successive overrelaxation (SSOR) have garnered a lot of attention than traditional Neumann series expansion-based ones because they do not require matrix inversion. But for hardware design purposes, the intricacy remains too high. The goal of this paper is to meet the current demand for large MIMO communication systems by proposing a high data rate, low-intricacy hardware implementation technique for the transmission and detection of quasi-orthogonal space–time block codes (QOSTBC). A better option for less computational intricacy in large MIMO than QOSTBC may be the already-existing space–time block coding (STBC) and orthogonal space–time block coding (OSTBC). However, when featuring more than two antennas, STBC schemes and OSTBC schemes for complex symbols are unable to reach a full transmission code rate. Therefore, an QOSTBC for large MIMO systems which provides significant data rate, diversity order and reduced decoding intricacy with symbol-wise decoding is achieved in the suggested scheme. The instantaneous received signal-to-noise ratio’s moment generating function is employed to determine a closed-form mathematical manifestation for the symbol error rate (SER), which helps to explain the performance.